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Description
Easily design online forms equipped with workflows, sub-forms, conditional logic, duplicate detection mechanisms, multi-level selection, lookups, tabs, and accordions. You can also establish views and filters to analyze the responses utilizing charts or pivot grids, all of which can be showcased in dynamic dashboards. Automate the generation of documents through Captisa Word Template, send PDF files as email attachments, and download either PDF or Word formats. Additionally, produce various custom PDF or Word documents from a single form or related forms. Set up automated actions within workflows that trigger when an entry is submitted or modified, ensuring emails are dispatched to different departments within your organization while enabling field entry updates. It is crucial to uphold your data's integrity by creating duplicate detection rules to minimize repeated records in your form submissions. Furthermore, you can establish form rules and recommendations that allow for the application of conditional logic without the need for coding, as these rules provide a user-friendly interface to implement and manage frequently changing and widely used protocols. This flexibility not only enhances the user experience but also streamlines the data management process significantly.
Description
WizWhy analyzes how the values of one data field are influenced by the values of other fields in the dataset. The analysis hinges on a dependent variable chosen by the user, while the remaining fields act as independent variables or conditions. This dependent variable can be examined in two ways: as a Boolean value or as a continuous measurement.
Users have the ability to refine their analysis by setting various parameters, including the minimum probability for rule formation, the least number of instances required for each rule, and the comparative costs associated with false negatives versus false positives.
WizWhy identifies and presents a series of rules that connect the dependent variable with other fields, expressing these rules using if-then and if-and-only-if constructs. Based on the identified rules, WizWhy highlights significant patterns, reveals unexpected rules that may indicate interesting phenomena, and points out unusual cases within the dataset. Additionally, WizWhy is capable of making predictions for new instances by leveraging the established rules.
API Access
Has API
API Access
Has API
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Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Captisa
Country
United States
Website
captisa.com
Vendor Details
Company Name
WizSoft
Founded
1983
Country
United States
Website
www.wizsoft.com/products/wizwhy/
Product Features
Forms Automation
Approval Process Control
Archiving & Retention
Collaboration
Document Indexing
Drag & Drop
Full Text Search
Remote Document Access
Rules-Based Workflow
Text Editing
Version Control
Online Form Builders
Artificial Intelligence
Assign Roles / Permissions
Collaboration Tools
Conversational Forms
Data Tables
Drag & Drop / No Code
Export to PDF
HIPAA Compliant
Import Existing Forms
Mobile Forms
Offline Forms
Pre-made Templates
Quizzes / Questionnaires
Reporting / Data Visualization
Signup Forms
Surveys
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis